[DOWNLOAD] Data Engineering with Alteryx: Helping data engineers apply DataOps practices

#BESTSELLER
Data Engineering with Alteryx: Helping data engineers apply
DataOps practices with Alteryx
Sinopsis :
Build and deploy data pipelines with Alteryx by applying
practical DataOps principlesKey FeaturesLearn DataOps
principles to build data pipelines with AlteryxBuild robust data
pipelines with Alteryx DesignerUse Alteryx Server and Alteryx
Connect to share and deploy your data pipelinesBook
DescriptionAlteryx is a GUI-based development platform for
data analytic applications.Data Engineering with Alteryx will
help you leverage Alteryx's code-free aspects which increase
development speed while still enabling you to make the most
of the code-based skills you have.This book will teach you the
principles of DataOps and how they can be used with the
Alteryx software stack. You'll build data pipelines with Alteryx
Designer and incorporate the error handling and data
validation needed for reliable datasets. Next, you'll take the

data pipeline from raw data, transform it into a robust dataset,
and publish it to Alteryx Server following a continuous
integration process.By the end of this Alteryx book, you'll be
able to build systems for validating datasets, monitoring
workflow performance, managing access, and promoting the
use of your data sources.What you will learnBuild a working
pipeline to integrate an external data sourceDevelop
monitoring processes for the pipeline exampleUnderstand and
apply DataOps principles to an Alteryx data pipelineGain skills
for data engineering with the Alteryx software stackWork with
spatial analytics and machine learning techniques in an Alteryx
workflow Explore Alteryx workflow deployment strategies using
metadata validation and continuous integrationOrganize
content on Alteryx Server and secure user accessWho this
book is forIf you're a data engineer, data scientist, or data
analyst who wants to set up a reliable process for developing
data pipelines using Alteryx, this book is for you. You'll also
find this book useful if you are trying to make the development
and deployment of datasets more robust by following the
DataOps principles. Familiarity with Alteryx products will be
helpful but is not necessary.Table of ContentsGetting Started
with AlteryxData Engineering with AlteryxDataOps and Its
BenefitsSourcing the DataData Processing and
TransformationsDestination ManagementExtracting
ValueBeginning Advanced AnalyticsTesting Workflows and
OutputsMonitoring DataOps and Managing ChangesSecuring
and Managing AccessMaking Data Easy to Use and
Discoverable with AlteryxConclusion